quantum error correction
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Making quantum bits ready to use again much sooner
Scientists from the University of Wisconsin-Madison and Intel have found that a simple electrical pulse can quickly push a quantum dot qubit out of a latched state and return it to its starting condition with very high reliability. Read More
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Modular processors and mitigating error
Researchers show that modular designs can help contain cosmic-ray-induced errors in computers based on superconducting qubits. Read More
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GKP codes and quantum error correction
Researchers show that the performance of GKP codes — which are useful for quantum error correction — is closely tied to the geometry of their structure and the amount of energy put into them. Read More
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Using the Petz map for quantum error correction
Researchers identify when the Petz map — a quantum error correction method — is the best possible choice, linking it to a measure of information preservation. Read More
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Interleaving qubit groups for faster operation
Scientists propose a new “movement-free” design for quantum error correction that organizes qubits into interleaved groups, allowing fast, reliable operations within each group and efficient communication between groups. Read More
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Modeling noisy quantum systems
Researchers develop a mathematical tool to model how information evolves in noisy quantum systems and identify a scaling law that describes the behavior. Read More
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Transferring quantum states between atomic-qubit types
A team has used a dual-species Rydberg array to entangle rubidium and cesium atoms, and enable quantum operations not possible with a single species of atom. Read More
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High-reliability measurements of quantum code and noise
Scientists introduce a metric for measuring the performance of any quantum code and noise, showing that the metric is more computationally efficient than traditional methods that rely on complex optimization. Read More
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Two-qubit-operation analysis
Researchers analyze potential errors in a two-qubit setup and demonstrate that it's more resilient to experimental errors compared to previous methods, resulting in higher fidelity. Read More
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‘Noise-cancelling’ qubits developed at UChicago to minimize errors in quantum computers
Researchers at the University of Chicago have developed a new method to constantly monitor the noise around a quantum system and adjust the qubits, in real time, to minimize error. The approach, described in "Science," relies on spectator qubits: a set of qubits embedded in the computer with the sole purpose of measuring outside noise rather than storing data. The information gathered by such spectator qubits can then be used to cancel out noise in vital data-processing qubits. Read More
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David Awschalom wins global Breakthrough of the Year award
David Awschalom, Q-NEXT Chief Science Officer and the Liew Family Professor of Quantum Engineering and Physics at the University of Chicago, received the prestigious Falling Walls Science Breakthrough of the Year in Physical Sciences for a pioneering body of work that broke the wall between quantum technology, molecules, and proteins. Read More
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Helium lifts new quantum computing concept
A team led by Jacob Covey, who is part of Q-NEXT and is an Associate Professor at the University of Chicago, laid out a new concept that could turn helium’s light weight into the next generation of quantum computers. The design relies on helium-3, an isotope with different quantum properties than the helium-4 used to cool MRI machines and fill party balloons. Once built, the computer could use high-powered lasers as “optical tweezers” to capture and control individual atoms of helium. Read More
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Researchers make materials that support quantum technology
Researchers from the University of Illinois Urbana-Champaign who are part of Q-NEXT are engineering material systems that support quantum technology. Chris Anderson and his team are developing materials for quantum transduction — the conversion of quantum information from one form to another. Elizabeth Goldschmidt, Daniel Shoemaker, and colleagues are developing quantum memory technology that stores quantum information for extended periods of time. Read More
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Silicon Chip Offers New Way to Probe Quantum Materials in Strong Magnetic Fields
Scientists have created a silicon chip that can detect the electrical behavior of very small materials by using very high-frequency waves. The chip is made only from silicon and other non-superconducting materials and still performs very well when cooled from room temperature down to about 4 Kelvin. Read More
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Making quantum bits ready to use again much sooner
Scientists from the University of Wisconsin-Madison and Intel have found that a simple electrical pulse can quickly push a quantum dot qubit out of a latched state and return it to its starting condition with very high reliability. Read More
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Q-NEXT-developed open-source software receives 2026 R&D 100 award
SeQUeNCe, a free, open-source software developed by Argonne scientists with Q-NEXT support, is one of seven Argonne projects that received a 2026 R&D 100 Award. The SeQUeNCe software lets researchers test how quantum networks might work before building them. Read More
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Researchers generate spontaneous magnons that synchronize with external signals
Researchers at Argonne and the University of Illinois Urbana-Champaign demonstrate a method for generating stable ripples in magnetic materials called magnons. The work opens avenues for information processing in microelectronics and quantum devices. Read More
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Uncovering the hidden disorder in silicon quantum computers
From the U.S. Department of Energy: Q-NEXT researchers map the variation in materials to the atom level to scale up silicon qubits Read More
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Color centers in high-purity diamond
Researchers mapped how electron irradiation makes defects inside diamond, finding that creating more vacancies does not always produce more NV centers. Too many vacancies can form unwanted defects. This result can inform advances in quantum sensing. Read More
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Containing multitudes: SLAC scientist collaborates to create scalable qubits
At SLAC National Accelerator Laboratory, Q-NEXT collaborator Shannon Harvey develops quantum dots — a mass-producible type of qubit. Driven by curiosity about nature and how things work, Harvey draws on her facility for working at the nanoscale. Read More